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Elasticsearch Jobs (NOW HIRING)

Urbane Systems LLC

Elasticsearch Engineer

Bethesda, MD · On-site

8+ years of proven experience as an Elasticsearch Engineer Must possess an Active Top Secret clearance and ability to obtain TS/SCI with CI Poly * Strong expertise in Elasticsearch cluster design ...

Sonsoft Inc

ElasticSearch

Chicago, IL

Atleast 4 years of experience in Elasticsearch * Analytical and Communication skills * project and talent management * Experience with project management * Experience and desire to work in a ...

Leidos

Elasticsearch Systems Engineer (SME)

Bethesda, MD · On-site

$154K - $278K/yr

Leidos has an exciting opportunity for a Elasticsearch Systems Engineer (SME) in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security ...

Leidos

Elasticsearch Systems Engineer (SME)

Bethesda, MD · On-site

$154K - $278K/yr

Leidos has an exciting opportunity for a Elasticsearch Systems Engineer (SME) in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security ...

Trinity ES LLC

Elasticsearch Mid Engineer

Chantilly, VA · On-site

Contribute to optimizing Elasticsearch infrastructure and configurations to ensure cluster health and optimal search performance. * Integration: Collaborate with developers to integrate the Elastic ...

Trinity ES LLC

Elasticsearch Mid Engineer

Chantilly, VA · On-site

Contribute to optimizing Elasticsearch infrastructure and configurations to ensure cluster health and optimal search performance. * Integration: Collaborate with developers to integrate the Elastic ...

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How much do elasticsearch jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for elasticsearch in the United States is $67.93, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $74.28 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of an Elasticsearch Engineer?

As an Elasticsearch Engineer, your day-to-day tasks often include designing, deploying, and maintaining Elasticsearch clusters, optimizing data indexing and search queries, monitoring system health, and troubleshooting performance issues. You'll frequently collaborate with software developers, data engineers, and DevOps teams to integrate Elasticsearch with various applications and streamline data flows. Proactively implementing security best practices and ensuring data integrity are also part of the role. Being hands-on with monitoring tools and regularly participating in code reviews or technical discussions are common aspects of the work environment.

What are the key skills and qualifications needed to thrive in the Elasticsearch position, and why are they important?

To thrive as an Elasticsearch Engineer, you need strong expertise in distributed systems, search algorithms, and a deep understanding of Elasticsearch architecture, typically supported by a background in computer science or related fields. Familiarity with tools such as Kibana, Logstash, Beats, and proficiency in scripting languages like Python or Java are crucial, and Elasticsearch certification is highly valued. Analytical thinking, problem-solving abilities, and strong communication skills set outstanding professionals apart in this field. These competencies ensure effective management, optimization, and troubleshooting of search infrastructure critical to business operations.

What does an Elasticsearch job entail?

An Elasticsearch job typically involves designing, implementing, and managing search and analytics solutions using Elasticsearch. Responsibilities may include indexing large datasets, optimizing search queries, maintaining cluster performance, and ensuring data availability. Professionals in this role often work with technologies like Kibana, Logstash, and Beats to analyze and visualize data. Strong knowledge of distributed systems, query performance tuning, and security best practices is essential.

More about Elasticsearch jobs
What cities are hiring for Elasticsearch jobs? Cities with the most Elasticsearch job openings:
What are the most commonly searched types of Elasticsearch jobs? The most popular types of Elasticsearch jobs are:
What states have the most Elasticsearch jobs? States with the most job openings for Elasticsearch jobs include:
What job categories do people searching Elasticsearch jobs look for? The top searched job categories for Elasticsearch jobs are:
Elasticsearch jobs near you
Infographic showing various Elasticsearch job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $141,299 per year, or $67.9 per hour.
Elasticsearch Administrator

Elasticsearch Administrator

r2 Technologies, Inc.

Manhattan, NY • On-site

Other

Posted 14 days ago

Job description

Overview:
Elasticsearch Administrator CGEMJP00320121
Location - New York (Hybrid 3 days onsite)
Experience Level: Mid - Level ( 8+)
Job Summary:
We are seeking a skilled and experienced Elasticsearch Administrator to manage, maintain, and optimize our Elasticsearch clusters. The ideal candidate will have a strong background in search technologies, systems administration, and monitoring tools, and will be responsible for ensuring the performance, availability, and security of Elasticsearch deployments.
Key Responsibilities:
• Install, configure, and manage Elasticsearch clusters and nodes.
• Monitor Elasticsearch performance and availability using tools like Kibana, Grafana, or Prometheus.
• Implement security policies including authentication, authorization, TLS, and audit logging.
• Troubleshoot and resolve issues related to cluster health, node communication, and indexing.
Required Skills:
• Strong hands-on experience with Elasticsearch (v7.x and above).
• Experience with Kibana, Beats, and Logstash (ELK stack).
• Proficiency in scripting languages like Bash, Python, or Shell.
• Experience with cloud environments such as AWS, Azure, or GCP.
• Knowledge of containerization (Docker, Kubernetes).
Skills:
Kibana,Elasticsearch (v7.x and above),Logstash (ELK stack,Bash,Python,AWS,Docker

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